Altérités : revue d'anthropologie du contemporain ; vol. 6, no 1, avril 2009, Corps, santé, maladie : aux frontières du médical et du social
Bibliographic record
Abstract
Présentation. Penser les frontières du social et du médical / Vincent Duclos (Université de Montréal), Marie-Ève Carle (Université de Montréal) ; Théâtres du corps (Essai) / Gilles Bibeau (Université de Montréal) ; Recasting gender and prophylactic use in China : a historical and anthropological perspective / Tiantian Zheng (State University of New York, Cortland) ; Médicalisation de la pauvreté et discipline des corps reproductifs : la famille et l’utilisation des contraceptifs hormonaux en milieu rural burkinabé / Julie Désalliers (Université de Montréal) ; Primum non nocere. evaluating and amalgamating competing blueprints for a new anthropology of psychiatry / Eugenia Tsao (University of Toronto) ; L’envers de l’imaginé : la détresse dans le corps social chez les immigrants indiens de Montréal / Vincent Duclos (Université de Montréal) ; Du discours de l’autre à l’émergence d’une parole en propre : réflexions à partir de récits d’usagers des services psychiatriques / Annie Gauthier (Institut national de la recherche scientifique) ; \nWhen anthropology meets science. An Interview with Allan Young / Vincent Duclos (Université de Montréal) ; L’engagement, le soin et la santé à la croisée du social et du médical. Entretien avec le Dr Gilles Julien / Marie-Ève Carle (Université de Montréal).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".